The 2018 Michigan Student Symposium for Interdisciplinary Statistical Sciences

Thank you all for attending MSSISS 2018!

MSSISS 2018 extended and enhanced the success of previous symposia. In 2018, an inaugural Monday night event showcased a junior faculty keynote (Assistant Professor Zhenke Wu), speed oral and poster combo presentations, and interdisciplinary posters. We were also honored to have Professor Xiao-Li Meng, the Professor in Statistics and Dean of the Graduate School of Arts and Sciences at Harvard University, Cambridge, as our keynote speaker.

MSSISS 2018 Presentation Awards:

Best Oral Presentation:

Sharan Sharma (Survey Methodology) – What can paradata tell us about interviewing quality?

Oral Presentation Honorable Mention:

Alexander Giessing (Statistics) – Predictive Risk of Misspecified Quantile Regression

Best Speed Session:

Timothy NeCamp (Statistics) – Predicting Mood Using Multivariate Mobile Sensor Data Streams for Medical Interns

ASA Prize for Best Poster Presentation:

Christina W. Zhou (Statistics) – Late pregnancy urinary phthalate metabolite associations with infant growth characteristic deferral: a longitudinal study in Mexico City

Departmental Poster Presentation Winners:

  • Emily Morris (Biostatistics) – SurvBoost: An R Package for High-dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
  • Daniel Vial (EECS) – The Role of Clustering in Personalized PageRank Estimation
  • Mansur M. Arief (IOE) – An efficient sampling machinery for the rare and safety-critical events in self-driving car evaluation
  • Julie Deeke (Statistics) – Identifying endogenous reference genes for single-cell RNA-sequencing
  • Colleen A. McClain (Survey Methodology) – Seeking the “Ground Truth”: Assessing Methods Used for Demographic Inference from Twitter

 Selected photos from the event



The Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) is an annual event organized by graduate students in the Biostatistics, Electrical Engineering & Computer Science, Industrial & Operations Engineering, Statistics and Survey Methodology departments at the University of Michigan.

The goal of this symposium is to create an environment that allows communication across related fields of statistical sciences and promotes interdisciplinary research among graduate students and faculty. It encourages graduate students to present their work, share insights and exposes them to diverse applications of statistical sciences. Though hosted by five departments we extend our invitation to graduate students from all departments across the University to present their statistical research in the form of an oral paper presentation or a poster presentation. It also provides an excellent environment for interacting with students and faculty from other areas of statistical research on campus.